Journal
SAFETY
Volume 6, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/safety6040055
Keywords
Advanced Driver-Assistance System (ADAS); driver safety and comfort; emotion recognition; Artificial Intelligence (AI); Driver Complex State (DCS)
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Funding
- European Union's Horizon 2020 research and innovation program ECSEL Joint Undertaking (JU) [876487]
- European Union's Horizon 2020 research and innovation programme
- University of Parma, under Iniziative di Sostegno alla Ricerca di Ateneo program, Multi-interface IoT sYstems forMulti-layer Information Processing (MIoTYMIP) project
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Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers' states, e.g., whether she/he is emotionally apt to drive. In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical algorithms used for human emotion classification. Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS). DCS relies on multiple non-obtrusive sensors and Artificial Intelligence (AI) for uncovering the driver state and uses it to implement innovative Human-Machine Interface (HMI) functionalities. This concept will be implemented and validated in the recently EU-funded NextPerception project, which is briefly introduced.
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